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Concept building in fisheries data a...

Das, Basant Kumar.

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Concept building in fisheries data analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Concept building in fisheries data analysis/ by Basant Kumar Das ... [et al.].
其他作者:	Das, Basant Kumar.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xxviii, 257 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Nature And Sources of Data For Inland Fisheries Management -- Chapter 2. Concept of Sampling Methodologies and Their Applications -- Chapter 3. Descriptive Statistics for Inland Fisheries Data -- Chapter 4. Basic Concept of Hypothesis Testing and Parametric Test -- Chapter 5. Chi-Square Test of Significance -- Chapter 6. Use of Non-Parametric Test in Fisheries Data -- Chapter 7. Analysis of Variance (Anova) and Design of Experiments -- Chapter 8. Concept of Simple Correlation and Regression -- Chapter 9. Analysis and Interpretation of Weight-Length Data of Fish -- Chapter 10. Some Multivariate Analysis Techniques for Fisheries Data -- Chapter 11. Introduction to Electronic Spreadsheet and Microsoft Excel -- Chapter 12. Introduction to R Software -- Chapter 13. Introduction To Graphics in R.
Contained By:	Springer Nature eBook
標題:	Fishery management - Statistical methods. -
電子資源:	https://doi.org/10.1007/978-981-19-4411-6
ISBN:	9789811944116

Concept building in fisheries data analysis
Concept building in fisheries data analysis[electronic resource] /by Basant Kumar Das ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxviii, 257 p. :ill., digital ;24 cm.

Chapter 1. Nature And Sources of Data For Inland Fisheries Management -- Chapter 2. Concept of Sampling Methodologies and Their Applications -- Chapter 3. Descriptive Statistics for Inland Fisheries Data -- Chapter 4. Basic Concept of Hypothesis Testing and Parametric Test -- Chapter 5. Chi-Square Test of Significance -- Chapter 6. Use of Non-Parametric Test in Fisheries Data -- Chapter 7. Analysis of Variance (Anova) and Design of Experiments -- Chapter 8. Concept of Simple Correlation and Regression -- Chapter 9. Analysis and Interpretation of Weight-Length Data of Fish -- Chapter 10. Some Multivariate Analysis Techniques for Fisheries Data -- Chapter 11. Introduction to Electronic Spreadsheet and Microsoft Excel -- Chapter 12. Introduction to R Software -- Chapter 13. Introduction To Graphics in R.

This authored book is primarily for the readers who are in search of how to use basic concepts of statistics in the field of fishery science. It has been written for the new comers coming in the fishery sector including university students, teachers and research scholars. It enriches the reader's knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical application with real example. It supports readers for enhancing theoretical and practical concept of application of fundamental statistics in fishery domain. Reader may also learn how to analyses data using different statistical software. Each chapter starts with an introduction of the topic followed by statistical concept with example and ends with chapter based question for comprehension purpose. This book is of interest to teachers, researchers, scientists, capacity builders in fishery sciences. Also the book serves as additional reading material for undergraduate and graduate students of fisheries and aquatic sciences.

ISBN: 9789811944116

Standard No.: 10.1007/978-981-19-4411-6doiSubjects--Topical Terms:

3625017
Fishery management
--Statistical methods.

LC Class. No.: SH328

Dewey Class. No.: 639.20727

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505 0 $a Chapter 1. Nature And Sources of Data For Inland Fisheries Management -- Chapter 2. Concept of Sampling Methodologies and Their Applications -- Chapter 3. Descriptive Statistics for Inland Fisheries Data -- Chapter 4. Basic Concept of Hypothesis Testing and Parametric Test -- Chapter 5. Chi-Square Test of Significance -- Chapter 6. Use of Non-Parametric Test in Fisheries Data -- Chapter 7. Analysis of Variance (Anova) and Design of Experiments -- Chapter 8. Concept of Simple Correlation and Regression -- Chapter 9. Analysis and Interpretation of Weight-Length Data of Fish -- Chapter 10. Some Multivariate Analysis Techniques for Fisheries Data -- Chapter 11. Introduction to Electronic Spreadsheet and Microsoft Excel -- Chapter 12. Introduction to R Software -- Chapter 13. Introduction To Graphics in R.
520 $a This authored book is primarily for the readers who are in search of how to use basic concepts of statistics in the field of fishery science. It has been written for the new comers coming in the fishery sector including university students, teachers and research scholars. It enriches the reader's knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical application with real example. It supports readers for enhancing theoretical and practical concept of application of fundamental statistics in fishery domain. Reader may also learn how to analyses data using different statistical software. Each chapter starts with an introduction of the topic followed by statistical concept with example and ends with chapter based question for comprehension purpose. This book is of interest to teachers, researchers, scientists, capacity builders in fishery sciences. Also the book serves as additional reading material for undergraduate and graduate students of fisheries and aquatic sciences.
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